Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, fast, inexpensive data storage infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers.
亚马逊 S3 提供一种能够用于在任何时间，从web的任何位置存储和获取任何数量的数据的简单的web服务接口
Amazon S3 Functionality（功能）
Amazon S3 is intentionally built with a minimal feature set.
- Write, read, and delete objects containing from 1 byte to 5 gigabytes of data each. The number of objects you can store is unlimited.
- Each object is stored and retrieved via a unique, developer-assigned key.
- Authentication mechanisms are provided to ensure that data is kept secure from unauthorized access. Objects can be made private or public, and rights can be granted to specific users.
- Uses standards-based REST and SOAP interfaces designed to work with any Internet-development toolkit.
- Built to be flexible so that protocol or functional layers can easily be added. Default download protocol is HTTP. A BitTorrent(TM) protocol interface is provided to lower costs for high-scale distribution. Additional interfaces will be added in the future.
Pricing（定价）
Pay only for what you use. There is no minimum fee. Estimate your monthly bill using AWS Simple Monthly Calculator.
Storage
$0.15 per GB-Month of storage used
Data Transfer
$0.10 per GB - all data transfer in
$0.18 per GB - first 10 TB / month data transfer out
$0.16 per GB - next 40 TB / month data transfer out
$0.13 per GB - data transfer out / month over 50 TB
Data transfer "in" and "out" refers to transfer into and out of Amazon S3.
Data transferred between Amazon S3 and Amazon EC2 is free of charge
Requests
$0.01 per 1,000 PUT or LIST requests
$0.01 per 10,000 GET and all other requests*
* No charge for delete requests
Storage and bandwidth size includes all file overhead.
(Amazon S3 is sold by Amazon Web Services LLC.)
Resources（资源）
Amazon S3 Design Requirements
Amazon S3 is based on the idea that quality Internet-based storage should be taken for granted. It helps free developers from worrying about where they are going to store data, whether it will be safe and secure, the costs associated with server maintenance, or whether they have enough storage available. The functionality is simple and robust: Store any amount of data inexpensively and securely, while ensuring that the data will always be available when you need it. Amazon S3 enables developers to focus on innovating with data, rather than figuring out how to store it.
Amazon S3 was built to fulfill the following design requirements:
- Scalable: Amazon S3 can scale in terms of storage, request rate, and users to support an unlimited number of web-scale applications. It uses scale as an advantage: Adding nodes to the system increases, not decreases, its availability, speed, throughput, capacity, and robustness.
- Reliable: Store data durably, with 99.99% availability. There can be no single points of failure. All failures must be tolerated or repaired by the system without any downtime.
- Fast: Amazon S3 must be fast enough to support high-performance applications. Server-side latency must be insignificant relative to Internet latency. Any performance bottlenecks can be fixed by simply adding nodes to the system.
- Inexpensive: Amazon S3 is built from inexpensive commodity hardware components. As a result, frequent node failure is the norm and must not affect the overall system. It must be hardware-agnostic, so that savings can be captured as Amazon continues to drive down infrastructure costs.
- Simple: Building highly scalable, reliable, fast, and inexpensive storage is difficult. Doing so in a way that makes it easy to use for any application anywhere is more difficult. Amazon S3 must do both.
A forcing-function for the design was that a single Amazon S3 distributed system must support the needs of both internal Amazon applications and external developers of any application. This means that it must be fast and reliable enough to run Amazon.com's websites, while flexible enough that any developer can use it for any data storage need.
Amazon S3 Design Principles
The following principles of distributed system design were used to meet Amazon S3 requirements:
- Decentralization: Use fully decentralized techniques to remove scaling bottlenecks and single points of failure.
- Asynchrony: The system makes progress under all circumstances.
- Autonomy: The system is designed such that individual components can make decisions based on local information.
- Local responsibility: Each individual component is responsible for achieving its consistency; this is never the burden of its peers.
- Controlled concurrency: Operations are designed such that no or limited concurrency control is required.
- Failure tolerant: The system considers the failure of components to be a normal mode of operation, and continues operation with no or minimal interruption.
- Controlled parallelism: Abstractions used in the system are of such granularity that parallelism can be used to improve performance and robustness of recovery or the introduction of new nodes.
- Decompose into small well-understood building blocks: Do not try to provide a single service that does everything for everyone, but instead build small components that can be used as building blocks for other services.
- Symmetry: Nodes in the system are identical in terms of functionality, and require no or minimal node-specific configuration to function.
- Simplicity: The system should be made as simple as possible (but no simpler).